Kling AI Production Checklist

Overview

Checklist covering authentication, error handling, cost controls, monitoring, security, and content policy before deploying Kling AI video generation to production.

Authentication

• ] AK/SK stored in secrets manager (not .env in repo)
• ] JWT auto-refresh with 5-min buffer before 30-min expiry
• ] Separate API keys per environment (dev/staging/prod)
• ] Key rotation schedule (quarterly minimum)
• ] Authorization: Bearer <token> format verified

Error Handling

• ] HTTP 400/401/402/403/429/5xx all handled
• ] Exponential backoff with jitter for 429/5xx retries
• ] Max retry limit set (3-5, not infinite)
• ] task_status: "failed" logs task_status_msg
• ] 30s timeout on all HTTP calls
• ] duration sent as string "5" not integer 5

Cost Controls

• ] Daily credit budget enforced in code
• ] Alert at 80% daily budget consumption
• ] standard mode used for non-final renders
• ] Max poll attempts cap (no infinite loops)
• ] Credit estimate before batch submission

python
# Pre-batch credit check
credits_needed = len(prompts) * 10  # 10 credits per 5s standard
if credits_needed > DAILY_BUDGET:
    raise RuntimeError(f"Batch needs {credits_needed}, budget is {DAILY_BUDGET}")

Task Management

• ] All task_ids logged with timestamp
• ] Stuck task detection (>10 min in processing)
• ] callback_url used instead of polling in production
• ] Failed tasks queued for retry
• ] Video URLs downloaded promptly (Kling CDN URLs expire)

Content Safety

• ] Prompts validated before API submission
• ] User-generated prompts sanitized
• ] Default negative prompt includes safety terms
• ] Content moderation on user-facing apps
• ] Policy violation errors handled gracefully

Security

• ] API keys never logged (redacted in debug output)
• ] Video URLs treated as temporary (store on own CDN)
• ] Webhook endpoints HTTPS-only
• ] Rate limiting on your API layer
• ] No sensitive data in prompt strings

Monitoring

• ] API latency tracked per endpoint
• ] Success/failure rate dashboard
• ] Credit consumption metrics
• ] Alert on >5% failure rate
• ] Structured JSON logs for all API calls

Performance

• ] Connection pooling via requests.Session()
• ] Concurrent tasks within API tier limit
• ] Video downloads async/background
• ] Generated videos CDN-cached

python
# Connection pooling
session = requests.Session()
adapter = requests.adapters.HTTPAdapter(pool_connections=5, pool_maxsize=10)
session.mount("https://", adapter)

Pre-Launch Smoke Test

python
from kling_client import KlingClient

c = KlingClient()
result = c.text_to_video("test: blue sky with clouds", duration=5, mode="standard")
assert result["videos"][0]["url"], "No video URL"
print("READY FOR PRODUCTION")

Resources

• API Reference
• Content Policy
• Developer Portal